Abstract The integration of Clinical Decision Support Systems (CDSS) based on artificial
intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its …

Background: COVID-19 caused a pandemic, due to its ease of transmission and high
number of infections. The evolution of the pandemic and its consequences for the mortality …

Background: Contributing health data to national, regional, and local networks or registries
requires data stored in local systems with local structures and codes to be extracted …

Background Comparison of care among centers is currently limited to major end points, such
as mortality, length of stay, or complication rates. Creating “care curves” and comparing …

Background The United States, and especially West Virginia, have a tremendous burden of
coronary artery disease (CAD). Undiagnosed familial hypercholesterolemia (FH) is an …

The study was primarily undertaken to establish the conceptual modeling and
implementation of Data Warehousing tools through existing demographic and clinic …

Biomedical data bear the potential to facilitate personalized diagnosis and precision
treatment. In the era of Big Data, high-quality annotation of human specimens has become …

Ambient Assisted Living (AAL) systems main purpose is to improve the quality of life of
special groups of people, including the elderly and people with physical disabilities. Driven …

Background Though electronic health record (EHR) data have been linked to national and
state death registries, such linkages have rarely been validated for an entire hospital …

More and more hospital Clinical Data Warehouses (CDWs) are developed to gain access to
EHR data. The rapid growth of investments in CDWs suggest a real potential for innovation …